Alternatives and similar repositories for deeponet-fno

Users that are interested in deeponet-fno are comparing it to the libraries listed below

• PredictiveIntelligenceLab / Physics-informed-DeepONets
  ☆375Updated 3 years ago
• neuraloperator / physics_informed
  ☆500Updated 8 months ago
• i207M / PINNacle
  Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.
  ☆385Updated last year
• neuraloperator / Geo-FNO
  Geometry-Aware Fourier Neural Operator (Geo-FNO)
  ☆294Updated 6 months ago
• levimcclenny / SA-PINNs
  Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
  ☆263Updated 4 years ago
• PredictiveIntelligenceLab / CausalPINNs
  ☆192Updated last year
• ADharaUTEXAS123007 / FNO
  Fourier_neural_operator
  ☆16Updated 2 years ago
• li-Pingan / fourier-neural-operator
  ☆75Updated 2 years ago
• PredictiveIntelligenceLab / GradientPathologiesPINNs
  ☆235Updated 4 years ago
• AdityaLab / pinnsformer
  ☆191Updated last year
• lululxvi / deeponet
  Learning nonlinear operators via DeepONet
  ☆738Updated 3 years ago
• lu-group / pinn-sampling
  A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
  ☆94Updated 3 years ago
• luo-yining / CFDBench
  A large-scale benchmark for machine learning methods in fluid dynamics
  ☆251Updated 2 months ago
• Shengfeng233 / PINN-for-NS-equation
  A pytorch implementaion of physics informed neural networks for two dimensional NS equation
  ☆184Updated last year
• PredictiveIntelligenceLab / MultiscalePINNs
  ☆162Updated 3 years ago
• AmeyaJagtap / XPINNs
  Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…
  ☆228Updated 2 years ago
• nanditadoloi / PINN
  Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
  ☆352Updated last year
• a1k12 / characterizing-pinns-failure-modes
  Characterizing possible failure modes in physics-informed neural networks.
  ☆147Updated 4 years ago
• isds-neu / PhyCRNet
  Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs
  ☆165Updated last year
• chen-yingfa / pinn-torch
  PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations
  ☆124Updated 2 months ago
• Wulx2050 / DeepXDE-and-PINN
  DeepXDE and PINN
  ☆141Updated 3 years ago
• lululxvi / tutorials
  Tutorials on deep learning, Python, and dissipative particle dynamics
  ☆204Updated 3 years ago
• benmoseley / FBPINNs
  Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…
  ☆504Updated last month
• Alexzihaohu / NSFnets
  PINN in solving Navier–Stokes equation
  ☆119Updated 5 years ago
• PredictiveIntelligenceLab / jaxpi
  ☆391Updated last month
• ehsanhaghighat / sciann-applications
  A place to share problems solved with SciANN
  ☆297Updated 2 years ago
• Raocp / PINN-elastodynamics
  physics-informed neural network for elastodynamics problem
  ☆152Updated 3 years ago
• okada39 / pinn_cavity
  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.
  ☆153Updated 5 years ago
• jayroxis / PINNs
  PyTorch Implementation of Physics-informed Neural Networks
  ☆689Updated last year
• erfanhamdi / pinn-torch
  Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose
  ☆57Updated 3 years ago